Characterization of dynamical systems under noise using recurrence networks: Application to simulated and EEG data NP Subramaniyam, J Hyttinen Physics Letters A 378 (46), 3464-3474, 2014 | 39 | 2014 |
Fusionsense: Emotion classification using feature fusion of multimodal data and deep learning in a brain-inspired spiking neural network C Tan, G Ceballos, N Kasabov, N Puthanmadam Subramaniyam Sensors 20 (18), 5328, 2020 | 29 | 2020 |
Dynamics of intracranial electroencephalographic recordings from epilepsy patients using univariate and bivariate recurrence networks NP Subramaniyam, J Hyttinen Physical Review E 91 (2), 022927, 2015 | 24 | 2015 |
Signatures of chaotic and stochastic dynamics uncovered with ϵ-recurrence networks NP Subramaniyam, JF Donges, J Hyttinen Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2015 | 17 | 2015 |
Analysis of nonlinear dynamics of healthy and epileptic EEG signals using recurrence based complex network approach NP Subramaniyam, J Hyttinen 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER), 605-608, 2013 | 17 | 2013 |
Causal coupling inference from multivariate time series based on ordinal partition transition networks NP Subramaniyam, RV Donner, D Caron, G Panuccio, J Hyttinen Nonlinear Dynamics 105 (1), 555-578, 2021 | 10 | 2021 |
Non-linear dynamical analysis of resting tremor for demand-driven deep brain stimulation C Camara, NP Subramaniyam, K Warwick, L Parkkonen, T Aziz, E Pereda Sensors 19 (11), 2507, 2019 | 10 | 2019 |
Waveform complexity: A new metric for EEG analysis D Parameshwaran, NP Subramaniyam, TC Thiagarajan Journal of Neuroscience Methods 325, 108313, 2019 | 9 | 2019 |
Tracking of dynamic functional connectivity from MEG data with Kalman filtering F Tronarp, NP Subramaniyam, S Särkkä, L Parkkonen 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 8 | 2018 |
Cortical potential imaging using L-curve and GCV method to choose the regularisation parameter NP Subramaniyam, ORM Väisänen, KE Wendel, JAV Malmivuo Nonlinear Biomedical Physics 4, 1-11, 2010 | 8 | 2010 |
Recurrence network analysis of wide band oscillations of local field potentials from the primary motor cortex reveals rich dynamics NP Subramaniyam, J Hyttinen, NG Hatsopoulos, K Takahashi 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER), 960-963, 2015 | 6 | 2015 |
Investigating the measurement capability of densely-distributed subdermal EEG electrodes NP Subramaniyam, K Wendel, A Joutsen, J Hyttinen 2011 8th International Symposium on Noninvasive Functional Source Imaging of …, 2011 | 6 | 2011 |
Measuring entropy in the eeg NP Subramaniyam Sapien Labs 5, 2018 | 5 | 2018 |
Expectation–maximization algorithm with a nonlinear Kalman smoother for MEG/EEG connectivity estimation NP Subramaniyam, F Tronarp, S Särkkä, L Parkkonen European Medical and Biological Engineering Confernce, 763-766, 2017 | 4 | 2017 |
Evaluating the electrode measurement sensitivity of subdermal electroencephalography electrodes MR Mendes, NP Subramaniyam, K Wendel-Mitoraj 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER …, 2015 | 3 | 2015 |
Source localization based on ictal electroencephalographic recordings NP Subramaniyam, J Peltola, JMA Tanskanen, K Wendel-Mitoraj, ... International Symposium on Biomedical Engineering and Medical Physics, 10-12 …, 2013 | 3 | 2013 |
Electrical fields of the sleep-related slow-wave EEG patterns in anaesthesia V Jantti, P Kauppinen, O Vaisanen, K Wendel, N Subramaniyam, ... British Journal of Anaesthesia 108 (2), 343P-344P, 2012 | 3 | 2012 |
Astrocytes induce desynchronizing effects in neuron-astrocyte networks cultured on microelectrode arrays B Genocchi, A Ahtiainen, A Niemi, M Barros, J Tanskanen, K Lenk, ... TechRxiv, 2023 | 2 | 2023 |
Electroencephalographic signals during anesthesia recorded from surface and depth electrodes V Jäntti, T Ylinen, NP Subramaniyam, K Kamata, A Yli-Hankala, ... International Journal of Radiation Biology 94 (10), 934-943, 2018 | 2 | 2018 |
Recurrence network analysis of EEG signals: A Geometric Approach NP Subramaniyam Tampere University of Technology, 2016 | 2 | 2016 |